Works of NTCIR14 STC-3 Nugget Detection & Dialogue Quality tasks
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Updated
Apr 28, 2020 - Python
Works of NTCIR14 STC-3 Nugget Detection & Dialogue Quality tasks
DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model
Two Conditional Random Field Taggers for the Switchboard corpus.
Utilities for Processing the BT Oasis Corpus
Utilities for Processing the HCRC Map Task Corpus
Utilities for Processing the Meeting Recorder Dialogue Act Corpus
Utilities for Processing the Switchboard Dialogue Act Corpus
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
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